Abandoned cart recovery software watches for shoppers who add items and leave, then sends reminders by email, SMS or push, usually on a fixed schedule with a discount in the second or third message. The tools differ less in channels than in one decision: whether the software can tell that a particular shopper would have returned without the discount.
Relvino replaces the flow stack these tools belong to, so read this as informed but interested. Each product is described in its own words from its own site, the ranking rule works whichever tool you pick, and the discount arithmetic is yours to check against your margins.
Strip the category to its parts and every tool does four things: capture (know who the shopper is, usually from an email typed at checkout or into a pop-up), detect (notice the cart or checkout was left), remind (email, SMS, push, on a schedule) and incentivize (a code, usually in the later messages). Shopify’s own help center defines the unit most tools work from: “An abandoned checkout refers to a checkout process that remains incomplete, even though the customer has provided their email information.” No email, no abandoned checkout in Shopify’s count; that is why the capture step matters, and why the difference between a cart and a checkout matters (see abandoned cart vs abandoned checkout).
Klaviyo’s own guide lays out the standard series: “Email 1: Remind customers about the products in their cart. Email 2: Send a follow-up email with a discount. Email 3: Share a product recommendation.” Recapture’s guide gives a suggested clock: “Send at 30-60 Minutes,” then “Send at 6-12 Hours,” “Send at 24 Hours,” “Send at 48 Hours,” and its advice on the incentive is “Save discounts for the 3rd or 4th email. Keep them small (5-10% or free shipping).” Both vendors know the trap. Recapture warns, “don’t train shoppers to leave carts on purpose.” Klaviyo writes: “If it doesn’t make sense for your brand’s economics to offer an incentive for every abandoned cart, consider segmenting high-value carts and only offering an incentive on those where you stand to make more revenue from a single purchase.”
Read that last sentence again. The advice is to build a segment: carts over a threshold get the code, carts under it do not. That is the closest a flow can come to the real decision, which is not about the cart’s value but about the shopper: would this person have come back anyway? A shopper who abandons every cart and returns two days later without prompting costs the store a 10% code every time the discount fires on schedule. A first-time visitor who priced the item on three other sites needs the code in the first hour or is gone. A flow cannot tell them apart, because the flow sees a cart value, a timer and whatever segment a person defined in advance, and a segment is a rule about the average shopper in it. So the discount is the decision, and the category has outsourced it to a clock.
Ordered by how much of the discount decision the software makes for you, lowest to highest. Facts are from each product’s own pages at the time of writing; the feature lists are theirs, and the ranking is ours.
The quoted cells are the vendors’ own words; the rest is our reading of how scheduled recovery works, which any of them is welcome to correct.
Relvino runs Observe → Decide → Act on the store’s owned channels. A shopper who leaves a cart is observed alongside everything else they did: what they browsed, whether they have bought before, how they responded to messages in the past, what shoppers like them across the category did next. The agent decides whether to message, which channel, when, and whether an offer is warranted, inside guardrails set once, and 100% of flows run without a human in the loop. The priors come from a Large Retail Model trained on 7M+ data points across 10K+ retailers and 1.78M shoppers, so the decision is informed before the store has a history of its own.
The headline numbers: 2–6× ROI in 30 days and up to 10× revenue uplift year over year versus the incumbent platform, with 80% less spam, because the sends that would not have moved a shopper are the ones that do not go out. Two customer examples: Stein Mart, 6X ROI in first 14 days, and Arvin Goods, 4X revenue uplift for Cyber Sale email campaign. Migration takes about 30 minutes and the proof is a 14-day pilot beside the current tool. The how-to for Shopify is in abandoned cart recovery on Shopify, the strategy in cart abandonment email strategy, and pricing on the pricing page.
Capture the shopper's email or phone before or at checkout, detect the abandoned cart or checkout, and send a reminder while the intent is still warm, by email, SMS or push. Every cart tool in this article does that on a schedule; the standard series is a reminder, then a follow-up with a discount, then a recommendation. The per-shopper version decides the timing and the offer for each shopper rather than per flow, because a returning customer needs no code and a price-comparison shopper needs the first message inside the hour.
For a basic automated reminder, Shopify's built-in abandoned checkout automation costs nothing extra: in Shopify's words, “abandoned checkout automations are always free and don't count towards the monthly limit.” For a multi-message series with codes and targeting rules, apps such as Cartly (email reminders and web push) and Recapture (email and SMS) are built for that. For recovery decided per shopper rather than per rule, including whether to discount at all, Relvino replaces the flow and proves it in a 14-day pilot. The how-to is in abandoned cart recovery on Shopify.
Shopify records an abandoned checkout whenever a shopper enters an email and does not complete the order. Carts left before the email step are visible only if a tool captures identity earlier, which is what site-wide capture features (CartStack's “Capture emails as they're typed, site-wide”) and pop-ups are for. Track two numbers, not one: the abandonment rate, and the share of abandoners who came back without any message, which is a proxy for how many of the flow's discounted recoveries were not needed.
Some of it is not fixable and should not be: Klaviyo's guide cites “70% of online shopping carts are abandoned,” and many of those shoppers were comparing or saving for later. What is fixable is the response: reach the shopper who is about to buy elsewhere within minutes, leave the shopper who will return alone, and spend the discount only where it changes the outcome. On-site fixes (shipping costs shown early, guest checkout, fewer form fields) reduce the rate; per-shopper decisions withhold the code from the shopper who would return anyway, without training customers to abandon for one.
About 30 minutes for the technical cutover: connect the Shopify store, point the sending domain, connect SMS, and shopper data ingests automatically. There is no cart flow to rebuild; the guardrails and margin floors are set once. Revenue is proven in a 14-day pilot run beside the current tool, which is also where the discounts-not-needed count in this article becomes measurable. Pricing is on the pricing page.